Overview

Brought to you by YData

Dataset statistics

Number of variables19
Number of observations100
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory15.6 KiB
Average record size in memory160.0 B

Variable types

TimeSeries17
Numeric2

Timeseries statistics

Number of series17
Time series length100
Starting point1745405220000
Ending point1745411160000
Period60000
2025-05-23T12:46:32.389095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:32.443938image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Alerts

close is highly overall correlated with high and 10 other fieldsHigh correlation
high is highly overall correlated with close and 11 other fieldsHigh correlation
low is highly overall correlated with close and 11 other fieldsHigh correlation
macd_7 is highly overall correlated with close and 10 other fieldsHigh correlation
macdhist_7 is highly overall correlated with macd_7 and 4 other fieldsHigh correlation
macdsignal_7 is highly overall correlated with close and 9 other fieldsHigh correlation
obv_7 is highly overall correlated with volumeHigh correlation
open is highly overall correlated with close and 11 other fieldsHigh correlation
rsi_14 is highly overall correlated with close and 10 other fieldsHigh correlation
rsi_21 is highly overall correlated with close and 9 other fieldsHigh correlation
rsi_60 is highly overall correlated with close and 7 other fieldsHigh correlation
rsi_7 is highly overall correlated with macd_7 and 3 other fieldsHigh correlation
sma_14 is highly overall correlated with close and 7 other fieldsHigh correlation
sma_21 is highly overall correlated with high and 7 other fieldsHigh correlation
sma_60 is highly overall correlated with macd_7 and 4 other fieldsHigh correlation
sma_7 is highly overall correlated with close and 10 other fieldsHigh correlation
target is highly overall correlated with close and 9 other fieldsHigh correlation
volume is highly overall correlated with obv_7High correlation
window_start_ms is non stationary Non stationary
open is non stationary Non stationary
high is non stationary Non stationary
low is non stationary Non stationary
close is non stationary Non stationary
target is non stationary Non stationary
sma_7 is non stationary Non stationary
sma_60 is non stationary Non stationary
rsi_7 is non stationary Non stationary
rsi_14 is non stationary Non stationary
rsi_21 is non stationary Non stationary
rsi_60 is non stationary Non stationary
macd_7 is non stationary Non stationary
macdsignal_7 is non stationary Non stationary
window_start_ms is uniformly distributed Uniform
window_start_ms has unique values Unique
volume has unique values Unique
sma_7 has unique values Unique
sma_14 has unique values Unique
sma_21 has unique values Unique
sma_60 has unique values Unique
macd_7 has unique values Unique
macdsignal_7 has unique values Unique
macdhist_7 has unique values Unique
obv_7 has unique values Unique
rsi_7 has 17 (17.0%) zeros Zeros
rsi_14 has 6 (6.0%) zeros Zeros

Reproduction

Analysis started2025-05-23 10:46:25.341739
Analysis finished2025-05-23 10:46:32.366717
Duration7.02 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

window_start_ms
Numeric time series

Non stationary  Uniform  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.7454082 × 1012
Minimum1.7454052 × 1012
Maximum1.7454112 × 1012
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:32.495000image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum1.7454052 × 1012
5-th percentile1.7454055 × 1012
Q11.7454067 × 1012
median1.7454082 × 1012
Q31.7454097 × 1012
95-th percentile1.7454109 × 1012
Maximum1.7454112 × 1012
Range5940000
Interquartile range (IQR)2970000

Descriptive statistics

Standard deviation1740689.5
Coefficient of variation (CV)9.9729652 × 10-7
Kurtosis-1.2
Mean1.7454082 × 1012
Median Absolute Deviation (MAD)1500000
Skewness3.2018039 × 10-17
Sum1.7454082 × 1014
Variance3.03 × 1012
MonotonicityStrictly increasing
Augmented Dickey-Fuller test p-value0.9585325841
2025-05-23T12:46:32.528006image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:32.939736image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:32.987560image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
1.74540522 × 10121
 
1.0%
1.745409 × 10121
 
1.0%
1.7454096 × 10121
 
1.0%
1.74540954 × 10121
 
1.0%
1.74540948 × 10121
 
1.0%
1.74540942 × 10121
 
1.0%
1.74540936 × 10121
 
1.0%
1.7454093 × 10121
 
1.0%
1.74540924 × 10121
 
1.0%
1.74540918 × 10121
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
1.74540522 × 10121
1.0%
1.74540528 × 10121
1.0%
1.74540534 × 10121
1.0%
1.7454054 × 10121
1.0%
1.74540546 × 10121
1.0%
1.74540552 × 10121
1.0%
1.74540558 × 10121
1.0%
1.74540564 × 10121
1.0%
1.7454057 × 10121
1.0%
1.74540576 × 10121
1.0%
ValueCountFrequency (%)
1.74541116 × 10121
1.0%
1.7454111 × 10121
1.0%
1.74541104 × 10121
1.0%
1.74541098 × 10121
1.0%
1.74541092 × 10121
1.0%
1.74541086 × 10121
1.0%
1.7454108 × 10121
1.0%
1.74541074 × 10121
1.0%
1.74541068 × 10121
1.0%
1.74541062 × 10121
1.0%
2025-05-23T12:46:32.826031image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

open
Numeric time series

High correlation  Non stationary 

Distinct61
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93633.429
Minimum93430
Maximum93839.1
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:33.063671image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93430
5-th percentile93441.195
Q193548.075
median93651.1
Q393710.825
95-th percentile93758.7
Maximum93839.1
Range409.1
Interquartile range (IQR)162.75

Descriptive statistics

Standard deviation99.31814
Coefficient of variation (CV)0.0010607124
Kurtosis-0.94341793
Mean93633.429
Median Absolute Deviation (MAD)83.1
Skewness-0.35955602
Sum9363342.9
Variance9864.093
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3256144458
2025-05-23T12:46:33.107970image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:33.291430image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:33.311557image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
93521.2 7
 
7.0%
93738.8 6
 
6.0%
93738.9 5
 
5.0%
93568.2 4
 
4.0%
93700.1 4
 
4.0%
93695.1 3
 
3.0%
93500 3
 
3.0%
93710.8 3
 
3.0%
93710.9 2
 
2.0%
93641.1 2
 
2.0%
Other values (51) 61
61.0%
ValueCountFrequency (%)
93430 1
 
1.0%
93430.1 2
 
2.0%
93441.1 2
 
2.0%
93441.2 1
 
1.0%
93484.6 1
 
1.0%
93500 3
3.0%
93500.1 1
 
1.0%
93504.3 1
 
1.0%
93511 1
 
1.0%
93521.2 7
7.0%
ValueCountFrequency (%)
93839.1 1
 
1.0%
93797.3 1
 
1.0%
93770.2 2
 
2.0%
93770.1 1
 
1.0%
93758.1 1
 
1.0%
93738.9 5
5.0%
93738.8 6
6.0%
93738 1
 
1.0%
93735.1 1
 
1.0%
93734.4 1
 
1.0%
2025-05-23T12:46:33.195347image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

high
Numeric time series

High correlation  Non stationary 

Distinct61
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93642.853
Minimum93430.1
Maximum93849
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:33.352232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93430.1
5-th percentile93482.525
Q193554.575
median93680.5
Q393732.1
95-th percentile93770.34
Maximum93849
Range418.9
Interquartile range (IQR)177.525

Descriptive statistics

Standard deviation101.62763
Coefficient of variation (CV)0.0010852684
Kurtosis-0.90591364
Mean93642.853
Median Absolute Deviation (MAD)62.65
Skewness-0.35249332
Sum9364285.3
Variance10328.175
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3546072062
2025-05-23T12:46:33.385571image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:33.490510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:33.523708image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
93521.2 7
 
7.0%
93738.9 7
 
7.0%
93738.8 4
 
4.0%
93710.9 4
 
4.0%
93568.2 4
 
4.0%
93695.1 3
 
3.0%
93689.1 3
 
3.0%
93700.1 3
 
3.0%
93770.2 3
 
3.0%
93500 2
 
2.0%
Other values (51) 60
60.0%
ValueCountFrequency (%)
93430.1 2
 
2.0%
93441.1 1
 
1.0%
93441.2 2
 
2.0%
93484.7 1
 
1.0%
93500 2
 
2.0%
93500.1 1
 
1.0%
93500.2 1
 
1.0%
93504.3 1
 
1.0%
93511 1
 
1.0%
93521.2 7
7.0%
ValueCountFrequency (%)
93849 1
 
1.0%
93839.1 1
 
1.0%
93797.3 1
 
1.0%
93776.4 1
 
1.0%
93773 1
 
1.0%
93770.2 3
3.0%
93758.1 1
 
1.0%
93744.2 1
 
1.0%
93742.1 1
 
1.0%
93738.9 7
7.0%
2025-05-23T12:46:33.430424image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

low
Numeric time series

High correlation  Non stationary 

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93626.337
Minimum93430
Maximum93797.3
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:33.565349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93430
5-th percentile93441.195
Q193539.3
median93646.9
Q393705.425
95-th percentile93738.8
Maximum93797.3
Range367.3
Interquartile range (IQR)166.125

Descriptive statistics

Standard deviation97.492922
Coefficient of variation (CV)0.001041298
Kurtosis-1.0006373
Mean93626.337
Median Absolute Deviation (MAD)78.8
Skewness-0.41779204
Sum9362633.7
Variance9504.8698
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4908675547
2025-05-23T12:46:33.619461image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:33.731244image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:33.749901image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
93738.8 8
 
8.0%
93521.1 5
 
5.0%
93710.8 5
 
5.0%
93430 4
 
4.0%
93700 4
 
4.0%
93500 3
 
3.0%
93568.1 3
 
3.0%
93586.8 3
 
3.0%
93738.7 3
 
3.0%
93641.1 2
 
2.0%
Other values (50) 60
60.0%
ValueCountFrequency (%)
93430 4
4.0%
93441.1 1
 
1.0%
93441.2 1
 
1.0%
93443 1
 
1.0%
93484.5 1
 
1.0%
93495 1
 
1.0%
93500 3
3.0%
93500.1 1
 
1.0%
93506 1
 
1.0%
93510.9 1
 
1.0%
ValueCountFrequency (%)
93797.3 1
 
1.0%
93770.1 2
 
2.0%
93745.1 1
 
1.0%
93738.8 8
8.0%
93738.7 3
 
3.0%
93738 1
 
1.0%
93731.1 1
 
1.0%
93721.5 1
 
1.0%
93715.9 1
 
1.0%
93710.8 5
5.0%
2025-05-23T12:46:33.659072image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

close
Numeric time series

High correlation  Non stationary 

Distinct60
Distinct (%)60.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93636.033
Minimum93430
Maximum93839.1
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:33.808614image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93430
5-th percentile93442.91
Q193550.975
median93655.9
Q393710.9
95-th percentile93770.2
Maximum93839.1
Range409.1
Interquartile range (IQR)159.925

Descriptive statistics

Standard deviation100.00832
Coefficient of variation (CV)0.0010680538
Kurtosis-0.92252529
Mean93636.033
Median Absolute Deviation (MAD)82.9
Skewness-0.38553056
Sum9363603.3
Variance10001.664
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.3940997955
2025-05-23T12:46:33.837265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:34.113342image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:34.126832image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
93521.2 7
 
7.0%
93738.8 7
 
7.0%
93568.2 4
 
4.0%
93689.1 4
 
4.0%
93738.9 4
 
4.0%
93500 3
 
3.0%
93710.8 3
 
3.0%
93710.9 2
 
2.0%
93586.8 2
 
2.0%
93601.1 2
 
2.0%
Other values (50) 62
62.0%
ValueCountFrequency (%)
93430 1
 
1.0%
93430.1 2
 
2.0%
93441.2 2
 
2.0%
93443 1
 
1.0%
93484.6 1
 
1.0%
93500 3
3.0%
93500.2 1
 
1.0%
93506 1
 
1.0%
93510.9 1
 
1.0%
93521.2 7
7.0%
ValueCountFrequency (%)
93839.1 1
 
1.0%
93797.2 1
 
1.0%
93773 1
 
1.0%
93771.6 1
 
1.0%
93770.2 2
 
2.0%
93770.1 1
 
1.0%
93742.1 1
 
1.0%
93738.9 4
4.0%
93738.8 7
7.0%
93738.1 1
 
1.0%
2025-05-23T12:46:33.872735image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

target
Numeric time series

High correlation  Non stationary 

Distinct61
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93643.967
Minimum93430
Maximum93841.4
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:34.157488image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93430
5-th percentile93442.91
Q193558.65
median93685.7
Q393732.3
95-th percentile93770.27
Maximum93841.4
Range411.4
Interquartile range (IQR)173.65

Descriptive statistics

Standard deviation102.95416
Coefficient of variation (CV)0.0010994212
Kurtosis-0.85308351
Mean93643.967
Median Absolute Deviation (MAD)54.8
Skewness-0.44577644
Sum9364396.7
Variance10599.559
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.7039786451
2025-05-23T12:46:34.183452image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:34.274211image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:34.295407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
93521.2 7
 
7.0%
93738.8 7
 
7.0%
93738.9 4
 
4.0%
93689.1 4
 
4.0%
93568.2 4
 
4.0%
93710.8 3
 
3.0%
93500 3
 
3.0%
93770.2 2
 
2.0%
93695.1 2
 
2.0%
93586.8 2
 
2.0%
Other values (51) 62
62.0%
ValueCountFrequency (%)
93430 1
 
1.0%
93430.1 2
 
2.0%
93441.2 2
 
2.0%
93443 1
 
1.0%
93484.6 1
 
1.0%
93500 3
3.0%
93500.2 1
 
1.0%
93506 1
 
1.0%
93510.9 1
 
1.0%
93521.2 7
7.0%
ValueCountFrequency (%)
93841.4 1
1.0%
93839.1 1
1.0%
93797.2 1
1.0%
93773 1
1.0%
93771.6 1
1.0%
93770.2 2
2.0%
93770.1 1
1.0%
93749.1 1
1.0%
93744 1
1.0%
93743.9 1
1.0%
2025-05-23T12:46:34.208408image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

volume
Real number (ℝ)

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6047565
Minimum0.00049505
Maximum20.094584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:34.323287image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.00049505
5-th percentile0.0047632075
Q10.039028958
median0.12642934
Q30.46582917
95-th percentile2.0645524
Maximum20.094584
Range20.094089
Interquartile range (IQR)0.42680022

Descriptive statistics

Standard deviation2.1231697
Coefficient of variation (CV)3.5107844
Kurtosis73.525202
Mean0.6047565
Median Absolute Deviation (MAD)0.10229851
Skewness8.1511022
Sum60.47565
Variance4.5078497
MonotonicityNot monotonic
2025-05-23T12:46:34.366896image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00529226 1
 
1.0%
0.07197619 1
 
1.0%
0.12214886 1
 
1.0%
0.18420347 1
 
1.0%
0.65072618 1
 
1.0%
0.0288203 1
 
1.0%
0.1107535 1
 
1.0%
0.00921384 1
 
1.0%
2.74813293 1
 
1.0%
2.06045477 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
0.00049505 1
1.0%
0.00079901 1
1.0%
0.0013951 1
1.0%
0.00256844 1
1.0%
0.00473789 1
1.0%
0.00476454 1
1.0%
0.00529226 1
1.0%
0.00537253 1
1.0%
0.00644284 1
1.0%
0.00654386 1
1.0%
ValueCountFrequency (%)
20.09458393 1
1.0%
5.68680538 1
1.0%
3.57366932 1
1.0%
2.74813293 1
1.0%
2.14240749 1
1.0%
2.06045477 1
1.0%
1.61966696 1
1.0%
1.29127149 1
1.0%
1.13982108 1
1.0%
1.09129338 1
1.0%

sma_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93630.651
Minimum93442.886
Maximum93752.743
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:34.402847image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93442.886
5-th percentile93463.95
Q193547.707
median93661.036
Q393712.35
95-th percentile93743.869
Maximum93752.743
Range309.85714
Interquartile range (IQR)164.64286

Descriptive statistics

Standard deviation94.063748
Coefficient of variation (CV)0.0010046256
Kurtosis-1.1831657
Mean93630.651
Median Absolute Deviation (MAD)72.935714
Skewness-0.43670471
Sum9363065.1
Variance8847.9887
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2277751409
2025-05-23T12:46:34.442590image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:34.556542image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:34.570738image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
93539.22857 1
 
1.0%
93514.55714 1
 
1.0%
93451.02857 1
 
1.0%
93442.88571 1
 
1.0%
93445.08571 1
 
1.0%
93453.48571 1
 
1.0%
93461.91429 1
 
1.0%
93472.75714 1
 
1.0%
93484.3 1
 
1.0%
93497.32857 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
93442.88571 1
1.0%
93445.08571 1
1.0%
93451.02857 1
1.0%
93453.48571 1
1.0%
93461.91429 1
1.0%
93464.05714 1
1.0%
93472.75714 1
1.0%
93477.07143 1
1.0%
93484.3 1
1.0%
93490.92857 1
1.0%
ValueCountFrequency (%)
93752.74286 1
1.0%
93752.24286 1
1.0%
93752.14286 1
1.0%
93748.14286 1
1.0%
93745.72857 1
1.0%
93743.77143 1
1.0%
93743.3 1
1.0%
93739.32857 1
1.0%
93738.85714 1
1.0%
93737.57143 1
1.0%
2025-05-23T12:46:34.484295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_14
Numeric time series

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93625.379
Minimum93474.179
Maximum93729.143
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:34.605771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93474.179
5-th percentile93478.213
Q193554.755
median93651.493
Q393703.141
95-th percentile93724.127
Maximum93729.143
Range254.96429
Interquartile range (IQR)148.38571

Descriptive statistics

Standard deviation85.277049
Coefficient of variation (CV)0.00091083261
Kurtosis-1.2606028
Mean93625.379
Median Absolute Deviation (MAD)67.5
Skewness-0.43467429
Sum9362537.9
Variance7272.1751
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.0379747627
2025-05-23T12:46:34.641501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:34.729825image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:34.755734image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
93561.23571 1
 
1.0%
93536.93571 1
 
1.0%
93474.17857 1
 
1.0%
93475.69286 1
 
1.0%
93478.30714 1
 
1.0%
93484.02143 1
 
1.0%
93489.73571 1
 
1.0%
93499.01429 1
 
1.0%
93508.37857 1
 
1.0%
93518.25 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
93474.17857 1
1.0%
93474.17857 1
1.0%
93474.91429 1
1.0%
93475.69286 1
1.0%
93476.42143 1
1.0%
93478.30714 1
1.0%
93478.33571 1
1.0%
93482.23571 1
1.0%
93484.02143 1
1.0%
93485.87857 1
1.0%
ValueCountFrequency (%)
93729.14286 1
1.0%
93729.08571 1
1.0%
93726.47857 1
1.0%
93724.75 1
1.0%
93724.5 1
1.0%
93724.10714 1
1.0%
93722.55 1
1.0%
93722.02143 1
1.0%
93721.3 1
1.0%
93720.89286 1
1.0%
2025-05-23T12:46:34.673547image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_21
Numeric time series

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93621.61
Minimum93490.133
Maximum93708.114
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:34.779236image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93490.133
5-th percentile93493.595
Q193568.704
median93634.681
Q393695.898
95-th percentile93704.155
Maximum93708.114
Range217.98095
Interquartile range (IQR)127.19405

Descriptive statistics

Standard deviation73.240442
Coefficient of variation (CV)0.00078230273
Kurtosis-1.1538012
Mean93621.61
Median Absolute Deviation (MAD)62.02619
Skewness-0.46211832
Sum9362161
Variance5364.1623
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.02106158044
2025-05-23T12:46:34.816588image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:34.900469image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:34.925747image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
93597.94762 1
 
1.0%
93559.22857 1
 
1.0%
93495.84286 1
 
1.0%
93499.09048 1
 
1.0%
93503.07143 1
 
1.0%
93509.11905 1
 
1.0%
93516.05238 1
 
1.0%
93523.51905 1
 
1.0%
93530.98095 1
 
1.0%
93539.74286 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
93490.13333 1
1.0%
93490.40952 1
1.0%
93491.7 1
1.0%
93492 1
1.0%
93493.41905 1
1.0%
93493.60476 1
1.0%
93494.83333 1
1.0%
93495.84286 1
1.0%
93498.89048 1
1.0%
93499.09048 1
1.0%
ValueCountFrequency (%)
93708.11429 1
1.0%
93707.71905 1
1.0%
93706.0381 1
1.0%
93705.89524 1
1.0%
93705.38571 1
1.0%
93704.09048 1
1.0%
93703.57143 1
1.0%
93703.50952 1
1.0%
93703.35714 1
1.0%
93702.19524 1
1.0%
2025-05-23T12:46:34.843553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

sma_60
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93628.218
Minimum93590.338
Maximum93672.848
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:34.956621image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum93590.338
5-th percentile93593.664
Q193600.774
median93625.674
Q393659.625
95-th percentile93665.24
Maximum93672.848
Range82.51
Interquartile range (IQR)58.850833

Descriptive statistics

Standard deviation27.41443
Coefficient of variation (CV)0.00029280094
Kurtosis-1.6274528
Mean93628.218
Median Absolute Deviation (MAD)27.02
Skewness0.10578552
Sum9362821.8
Variance751.551
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2457768169
2025-05-23T12:46:34.986698image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:35.090520image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:35.108978image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
93672.84833 1
 
1.0%
93656.33333 1
 
1.0%
93616.035 1
 
1.0%
93620.01667 1
 
1.0%
93624.255 1
 
1.0%
93629.27 1
 
1.0%
93633.40167 1
 
1.0%
93637.71833 1
 
1.0%
93642.035 1
 
1.0%
93646.35333 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
93590.33833 1
1.0%
93591.015 1
1.0%
93591.10667 1
1.0%
93592.12 1
1.0%
93593.55667 1
1.0%
93593.67 1
1.0%
93593.68167 1
1.0%
93594.76 1
1.0%
93595.175 1
1.0%
93595.19 1
1.0%
ValueCountFrequency (%)
93672.84833 1
1.0%
93666.58 1
1.0%
93666.23333 1
1.0%
93666.055 1
1.0%
93665.275 1
1.0%
93665.23833 1
1.0%
93663.825 1
1.0%
93662.85667 1
1.0%
93662.815 1
1.0%
93662.61667 1
1.0%
2025-05-23T12:46:35.029202image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_7
Numeric time series

High correlation  Non stationary  Zeros 

Distinct66
Distinct (%)66.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.72846
Minimum0
Maximum100
Zeros17
Zeros (%)17.0%
Memory size1.6 KiB
2025-05-23T12:46:35.135512image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.7160731
median43.108943
Q397.955287
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)93.239214

Descriptive statistics

Standard deviation43.10225
Coefficient of variation (CV)0.86675216
Kurtosis-1.8164479
Mean49.72846
Median Absolute Deviation (MAD)43.108943
Skewness0.060763065
Sum4972.846
Variance1857.804
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1111648958
2025-05-23T12:46:35.170655image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:35.269302image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:35.282897image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 17
 
17.0%
100 11
 
11.0%
99.83193277 2
 
2.0%
99.89785495 2
 
2.0%
22.0713073 2
 
2.0%
95.0310559 2
 
2.0%
94.30604982 2
 
2.0%
94.13854352 2
 
2.0%
0.2564102564 2
 
2.0%
4.716073147 2
 
2.0%
Other values (56) 56
56.0%
ValueCountFrequency (%)
0 17
17.0%
0.1234567901 1
 
1.0%
0.1314060447 1
 
1.0%
0.2173913043 1
 
1.0%
0.2564102564 2
 
2.0%
0.3875968992 1
 
1.0%
0.9389671362 1
 
1.0%
4.716073147 2
 
2.0%
6.169296987 1
 
1.0%
7.020057307 1
 
1.0%
ValueCountFrequency (%)
100 11
11.0%
99.96531391 1
 
1.0%
99.92902768 1
 
1.0%
99.9122807 1
 
1.0%
99.91197183 1
 
1.0%
99.89785495 2
 
2.0%
99.88864143 1
 
1.0%
99.88372093 1
 
1.0%
99.85915493 1
 
1.0%
99.84848485 1
 
1.0%
2025-05-23T12:46:35.200199image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_14
Numeric time series

High correlation  Non stationary  Zeros 

Distinct78
Distinct (%)78.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.30363
Minimum0
Maximum99.950739
Zeros6
Zeros (%)6.0%
Memory size1.6 KiB
2025-05-23T12:46:35.318753image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112.196621
median55.777311
Q379.64851
95-th percentile98.999488
Maximum99.950739
Range99.950739
Interquartile range (IQR)67.451889

Descriptive statistics

Standard deviation35.123873
Coefficient of variation (CV)0.69823734
Kurtosis-1.3622922
Mean50.30363
Median Absolute Deviation (MAD)37.334943
Skewness-0.065830706
Sum5030.363
Variance1233.6865
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.1532778491
2025-05-23T12:46:35.383285image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:35.502766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:35.536034image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
0 6
 
6.0%
99.93337775 3
 
3.0%
17.11642251 2
 
2.0%
61.4700652 2
 
2.0%
96.44707624 2
 
2.0%
42.22841226 2
 
2.0%
12.27573182 2
 
2.0%
5.464480874 2
 
2.0%
25.98425197 2
 
2.0%
55.77731092 2
 
2.0%
Other values (68) 75
75.0%
ValueCountFrequency (%)
0 6
6.0%
0.0761614623 1
 
1.0%
0.07686395081 1
 
1.0%
0.1075268817 1
 
1.0%
0.1314060447 1
 
1.0%
4.228855721 1
 
1.0%
4.507819687 1
 
1.0%
4.570895522 1
 
1.0%
5.333333333 1
 
1.0%
5.464480874 2
 
2.0%
ValueCountFrequency (%)
99.95073892 1
 
1.0%
99.93337775 3
3.0%
99.8467433 1
 
1.0%
98.95489549 1
 
1.0%
98.95056614 1
 
1.0%
98.49026619 1
 
1.0%
98.44735565 2
2.0%
98.44660194 2
2.0%
98.39187474 1
 
1.0%
98.24723247 1
 
1.0%
2025-05-23T12:46:35.435796image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_21
Numeric time series

High correlation  Non stationary 

Distinct88
Distinct (%)88.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.977907
Minimum0.054288816
Maximum98.400388
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:35.566492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.054288816
5-th percentile4.7272727
Q135.801319
median49.975927
Q372.282526
95-th percentile86.809614
Maximum98.400388
Range98.346099
Interquartile range (IQR)36.481207

Descriptive statistics

Standard deviation26.48039
Coefficient of variation (CV)0.52984191
Kurtosis-0.77038032
Mean49.977907
Median Absolute Deviation (MAD)18.167704
Skewness-0.19015947
Sum4997.7907
Variance701.21104
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.4776389304
2025-05-23T12:46:35.592855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:35.836763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:35.859152image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
82.81632653 4
 
4.0%
14.49086162 3
 
3.0%
49.97592682 3
 
3.0%
4.727272727 2
 
2.0%
98.35271318 2
 
2.0%
56.56903766 2
 
2.0%
54.62256149 2
 
2.0%
25.1826087 2
 
2.0%
10.2281668 1
 
1.0%
7.061379685 1
 
1.0%
Other values (78) 78
78.0%
ValueCountFrequency (%)
0.0542888165 1
1.0%
0.06369426752 1
1.0%
0.1273074475 1
1.0%
4.558204769 1
1.0%
4.727272727 2
2.0%
5.036807439 1
1.0%
5.494505494 1
1.0%
6.666666667 1
1.0%
7.061379685 1
1.0%
7.386363636 1
1.0%
ValueCountFrequency (%)
98.40038778 1
1.0%
98.35271318 2
2.0%
98.35191469 1
1.0%
89.30928289 1
1.0%
86.67805295 1
1.0%
84.83665502 1
1.0%
84.65266559 1
1.0%
83.40827338 1
1.0%
83.12858313 1
1.0%
83.04505229 1
1.0%
2025-05-23T12:46:35.626320image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

rsi_60
Numeric time series

High correlation  Non stationary 

Distinct95
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.770999
Minimum25.722124
Maximum63.929791
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:35.889817image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum25.722124
5-th percentile31.532137
Q140.17915
median48.746963
Q354.498926
95-th percentile61.4041
Maximum63.929791
Range38.207668
Interquartile range (IQR)14.319776

Descriptive statistics

Standard deviation9.6628316
Coefficient of variation (CV)0.20227401
Kurtosis-0.86479561
Mean47.770999
Median Absolute Deviation (MAD)8.1798924
Skewness-0.26226965
Sum4777.0999
Variance93.370315
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2042538267
2025-05-23T12:46:35.920703image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:36.010585image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:36.027156image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
34.3718593 2
 
2.0%
60.51167964 2
 
2.0%
47.43002048 2
 
2.0%
30.42623942 2
 
2.0%
48.75034713 2
 
2.0%
42.60752688 1
 
1.0%
25.72212361 1
 
1.0%
31.57425301 1
 
1.0%
30.41572184 1
 
1.0%
31.88670626 1
 
1.0%
Other values (85) 85
85.0%
ValueCountFrequency (%)
25.72212361 1
1.0%
30.41572184 1
1.0%
30.42623942 2
2.0%
30.73192908 1
1.0%
31.57425301 1
1.0%
31.88670626 1
1.0%
32.31156523 1
1.0%
32.85876993 1
1.0%
32.94278239 1
1.0%
34.3718593 2
2.0%
ValueCountFrequency (%)
63.92979149 1
1.0%
63.26132064 1
1.0%
63.02211302 1
1.0%
61.67533819 1
1.0%
61.63388047 1
1.0%
61.39200605 1
1.0%
61.10876452 1
1.0%
60.90003285 1
1.0%
60.86810229 1
1.0%
60.62205467 1
1.0%
2025-05-23T12:46:35.943893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macd_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9626333
Minimum-33.875888
Maximum69.661146
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:36.058149image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-33.875888
5-th percentile-32.981979
Q1-23.704053
median7.9193456
Q322.677334
95-th percentile41.653215
Maximum69.661146
Range103.53703
Interquartile range (IQR)46.381387

Descriptive statistics

Standard deviation25.900737
Coefficient of variation (CV)6.5362437
Kurtosis-0.68031387
Mean3.9626333
Median Absolute Deviation (MAD)20.748564
Skewness0.22501121
Sum396.26333
Variance670.84819
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2176243401
2025-05-23T12:46:36.103483image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:36.204691image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:36.217294image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-13.62611653 1
 
1.0%
-24.29102694 1
 
1.0%
-12.07184099 1
 
1.0%
-19.84794822 1
 
1.0%
-27.80203229 1
 
1.0%
-30.50073133 1
 
1.0%
-32.97558003 1
 
1.0%
-33.10355248 1
 
1.0%
-31.57453019 1
 
1.0%
-27.47435678 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-33.87588787 1
1.0%
-33.26485996 1
1.0%
-33.13983149 1
1.0%
-33.10896303 1
1.0%
-33.10355248 1
1.0%
-32.97558003 1
1.0%
-31.67166275 1
1.0%
-31.57453019 1
1.0%
-31.40391514 1
1.0%
-30.50073133 1
1.0%
ValueCountFrequency (%)
69.66114557 1
1.0%
67.86870241 1
1.0%
56.74549104 1
1.0%
56.71145478 1
1.0%
47.66893645 1
1.0%
41.33659798 1
1.0%
41.18704874 1
1.0%
38.02578603 1
1.0%
35.32844865 1
1.0%
34.39473884 1
1.0%
2025-05-23T12:46:36.139295image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdsignal_7
Numeric time series

High correlation  Non stationary  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.71377637
Minimum-40.114033
Maximum41.693594
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:36.251369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-40.114033
5-th percentile-34.345527
Q1-8.4770312
median0.7183376
Q313.66152
95-th percentile31.080103
Maximum41.693594
Range81.807626
Interquartile range (IQR)22.138551

Descriptive statistics

Standard deviation19.303836
Coefficient of variation (CV)27.044656
Kurtosis-0.31550649
Mean0.71377637
Median Absolute Deviation (MAD)10.827743
Skewness-0.13489364
Sum71.377637
Variance372.6381
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.2392568255
2025-05-23T12:46:36.290583image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:36.459766image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:36.475935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
9.286307942 1
 
1.0%
-26.65080437 1
 
1.0%
-30.7783989 1
 
1.0%
-34.00532674 1
 
1.0%
-37.25042991 1
 
1.0%
-39.39398254 1
 
1.0%
-40.11403295 1
 
1.0%
-39.10326537 1
 
1.0%
-37.37222009 1
 
1.0%
-34.19263756 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-40.11403295 1
1.0%
-39.39398254 1
1.0%
-39.10326537 1
1.0%
-37.37222009 1
1.0%
-37.25042991 1
1.0%
-34.19263756 1
1.0%
-34.00532674 1
1.0%
-31.23468615 1
1.0%
-30.7783989 1
1.0%
-28.53618477 1
1.0%
ValueCountFrequency (%)
41.6935935 1
1.0%
40.46772673 1
1.0%
38.4183107 1
1.0%
36.42458046 1
1.0%
33.84042971 1
1.0%
30.93482213 1
1.0%
27.57097022 1
1.0%
25.9502318 1
1.0%
25.87977732 1
1.0%
25.58565924 1
1.0%
2025-05-23T12:46:36.394829image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

macdhist_7
Numeric time series

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.248857
Minimum-39.136058
Maximum63.82863
Zeros0
Zeros (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:36.510533image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum-39.136058
5-th percentile-30.413685
Q1-19.515173
median5.8987014
Q321.899639
95-th percentile40.990562
Maximum63.82863
Range102.96469
Interquartile range (IQR)41.414812

Descriptive statistics

Standard deviation24.094609
Coefficient of variation (CV)7.4163343
Kurtosis-0.74323535
Mean3.248857
Median Absolute Deviation (MAD)20.060121
Skewness0.18207521
Sum324.8857
Variance580.5502
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.01334363147
2025-05-23T12:46:36.549721image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
2025-05-23T12:46:36.668398image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2025-05-23T12:46:36.683288image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ValueCountFrequency (%)
-22.91242447 1
 
1.0%
2.359777434 1
 
1.0%
18.70655791 1
 
1.0%
14.15737853 1
 
1.0%
9.448397622 1
 
1.0%
8.893251212 1
 
1.0%
7.138452916 1
 
1.0%
5.999712895 1
 
1.0%
5.7976899 1
 
1.0%
6.718280773 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
-39.1360575 1
1.0%
-38.87864694 1
1.0%
-37.16659217 1
1.0%
-36.09340547 1
1.0%
-33.51389993 1
1.0%
-30.25051611 1
1.0%
-29.11013757 1
1.0%
-28.0668706 1
1.0%
-26.4541264 1
1.0%
-25.63966823 1
1.0%
ValueCountFrequency (%)
63.82862973 1
1.0%
57.72407811 1
1.0%
55.30557707 1
1.0%
43.63256073 1
1.0%
42.73226553 1
1.0%
40.89889358 1
1.0%
38.1022665 1
1.0%
35.34276867 1
1.0%
34.10139847 1
1.0%
33.37155082 1
1.0%
2025-05-23T12:46:36.587038image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
ACF and PACF

obv_7
Real number (ℝ)

High correlation  Unique 

Distinct100
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6047565
Minimum0.00049505
Maximum20.094584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2025-05-23T12:46:36.710526image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Quantile statistics

Minimum0.00049505
5-th percentile0.0047632075
Q10.039028958
median0.12642934
Q30.46582917
95-th percentile2.0645524
Maximum20.094584
Range20.094089
Interquartile range (IQR)0.42680022

Descriptive statistics

Standard deviation2.1231697
Coefficient of variation (CV)3.5107844
Kurtosis73.525202
Mean0.6047565
Median Absolute Deviation (MAD)0.10229851
Skewness8.1511022
Sum60.47565
Variance4.5078497
MonotonicityNot monotonic
2025-05-23T12:46:36.759752image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.00529226 1
 
1.0%
0.07197619 1
 
1.0%
0.12214886 1
 
1.0%
0.18420347 1
 
1.0%
0.65072618 1
 
1.0%
0.0288203 1
 
1.0%
0.1107535 1
 
1.0%
0.00921384 1
 
1.0%
2.74813293 1
 
1.0%
2.06045477 1
 
1.0%
Other values (90) 90
90.0%
ValueCountFrequency (%)
0.00049505 1
1.0%
0.00079901 1
1.0%
0.0013951 1
1.0%
0.00256844 1
1.0%
0.00473789 1
1.0%
0.00476454 1
1.0%
0.00529226 1
1.0%
0.00537253 1
1.0%
0.00644284 1
1.0%
0.00654386 1
1.0%
ValueCountFrequency (%)
20.09458393 1
1.0%
5.68680538 1
1.0%
3.57366932 1
1.0%
2.74813293 1
1.0%
2.14240749 1
1.0%
2.06045477 1
1.0%
1.61966696 1
1.0%
1.29127149 1
1.0%
1.13982108 1
1.0%
1.09129338 1
1.0%

Interactions

2025-05-23T12:46:31.893991image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:25.491381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:25.914655image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.224931image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.527955image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.989544image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.294755image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.644852image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.014684image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.376356image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.808828image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.112003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.409599image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.730920image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.036212image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.463277image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.814496image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.119422image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.471815image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.914442image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:25.537727image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:25.933411image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.241463image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.547850image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.005899image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.310728image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.664855image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.033569image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.394316image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.826243image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.129215image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.427951image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.749251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.053784image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.482121image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.831877image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.138876image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.490216image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.933251image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:25.563570image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:25.948381image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.255651image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.564680image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.019374image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.325201image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.684279image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.050389image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.411421image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.840582image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.144576image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.444717image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.764352image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.069126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.500723image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.846209image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.157213image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.505333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.950771image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:25.583146image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:25.964266image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.270407image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.583638image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.035190image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.339977image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.702669image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.066598image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.428635image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.854807image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.158510image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.459338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.779467image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.084432image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.517462image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.861822image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.175517image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.521492image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.972359image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:25.610147image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:25.981237image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.287084image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.602910image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.052404image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.356017image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.723141image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.084102image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.447501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.872581image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.175907image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.477338image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.797354image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.101575image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.537094image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.878923image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.194741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.538895image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.990427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:25.628095image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:25.995247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.302111image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.620731image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.068039image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
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2025-05-23T12:46:31.396722image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.719658image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:32.199470image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:25.857893image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.174798image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.476179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.930673image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.242523image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.589786image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.957226image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.317935image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.756748image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.059368image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.360751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.678844image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.985751image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.404762image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.758305image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.070007image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.414232image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.734304image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:32.219120image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:25.876987image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.191894image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.494406image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.950611image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.260495image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.610174image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.977024image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.338715image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.774349image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.077335image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.377158image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.696175image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.002763image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.426427image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.777474image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.087099image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.433030image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.860410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:32.247921image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:25.895124image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.207864image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.511634image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:26.969144image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.275666image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.626333image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:27.995376image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.356020image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:28.790929image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.093741image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.391884image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:29.712777image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.019083image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.443767image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:30.795369image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.102675image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.451373image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
2025-05-23T12:46:31.875605image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Correlations

2025-05-23T12:46:36.811281image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
closehighlowmacd_7macdhist_7macdsignal_7obv_7openrsi_14rsi_21rsi_60rsi_7sma_14sma_21sma_60sma_7targetvolumewindow_start_ms
close1.0000.9850.9700.7510.2740.6780.0580.9490.7280.8190.6610.4720.6510.482-0.3650.8590.6710.058-0.212
high0.9851.0000.9620.7420.2560.6870.0850.9690.7050.8060.6790.4200.6860.505-0.3390.8900.6300.085-0.179
low0.9700.9621.0000.7170.2370.6850.0120.9820.6900.7940.6870.4050.6990.538-0.3100.9060.6240.012-0.254
macd_70.7510.7420.7171.0000.7030.4750.1300.7060.8870.8560.2320.6460.193-0.100-0.6910.5790.6960.1300.006
macdhist_70.2740.2560.2370.7031.000-0.2620.1140.2280.7140.487-0.2100.620-0.401-0.595-0.5340.0540.2250.1140.116
macdsignal_70.6780.6870.6850.475-0.2621.0000.0640.6830.2980.5450.5870.1400.7290.596-0.2670.7120.6630.064-0.195
obv_70.0580.0850.0120.1300.1140.0641.0000.0340.0720.0620.0880.106-0.059-0.111-0.159-0.0190.0951.0000.117
open0.9490.9690.9820.7060.2280.6830.0341.0000.6690.7790.6950.3700.7230.553-0.2850.9260.5910.034-0.231
rsi_140.7280.7050.6900.8870.7140.2980.0720.6691.0000.8490.1890.7440.183-0.064-0.5750.5350.6330.072-0.126
rsi_210.8190.8060.7940.8560.4870.5450.0620.7790.8491.0000.3590.4700.4480.133-0.6890.7050.6530.062-0.082
rsi_600.6610.6790.6870.232-0.2100.5870.0880.6950.1890.3591.000-0.0160.6680.7430.0180.6890.3040.088-0.155
rsi_70.4720.4200.4050.6460.6200.1400.1060.3700.7440.470-0.0161.000-0.123-0.194-0.3720.1600.5940.106-0.141
sma_140.6510.6860.6990.193-0.4010.729-0.0590.7230.1830.4480.668-0.1231.0000.8810.0420.8560.335-0.059-0.219
sma_210.4820.5050.538-0.100-0.5950.596-0.1110.553-0.0640.1330.743-0.1940.8811.0000.3570.6670.184-0.111-0.386
sma_60-0.365-0.339-0.310-0.691-0.534-0.267-0.159-0.285-0.575-0.6890.018-0.3720.0420.3571.000-0.165-0.585-0.159-0.261
sma_70.8590.8900.9060.5790.0540.712-0.0190.9260.5350.7050.6890.1600.8560.667-0.1651.0000.454-0.019-0.187
target0.6710.6300.6240.6960.2250.6630.0950.5910.6330.6530.3040.5940.3350.184-0.5850.4541.0000.095-0.114
volume0.0580.0850.0120.1300.1140.0641.0000.0340.0720.0620.0880.106-0.059-0.111-0.159-0.0190.0951.0000.117
window_start_ms-0.212-0.179-0.2540.0060.116-0.1950.117-0.231-0.126-0.082-0.155-0.141-0.219-0.386-0.261-0.187-0.1140.1171.000

Missing values

2025-05-23T12:46:32.303745image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-05-23T12:46:32.337947image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

window_start_msopenhighlowclosetargetvolumesma_7sma_14sma_21sma_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obv_7
1745405220000174540522000093539.2093539.3093539.2093539.3093680.900.0193539.2393561.2493597.9593672.850.944.2347.4432.94-13.639.29-22.910.01
1745405280000174540528000093539.3093539.3093539.3093539.3093680.900.0493539.2493553.1093593.8793662.8266.675.3335.8232.86-12.386.51-18.890.04
1745405340000174540534000093539.3093605.0093539.3093605.0093689.101.1493548.6493555.0193590.2793653.8499.8561.3437.8935.20-3.525.35-8.871.14
1745405400000174540540000093605.1093653.1093605.0093653.0093689.100.0493564.9093560.4993588.5093645.6699.9173.3044.7336.868.074.933.150.04
1745405460000174540546000093653.0093680.1093653.0093680.0093689.100.5493585.0093568.3193588.4393637.9499.9379.5149.8037.7618.505.7412.760.54
1745405520000174540552000093679.9093680.9093679.9093680.9093689.100.1893605.2493575.7293589.9093630.95100.0078.8754.5538.6824.877.0317.840.18
1745405580000174540558000093680.9093680.9093680.9093680.9093742.101.0793625.4993583.8593589.6693624.97100.0083.5149.1739.9828.178.3619.811.07
1745405640000174540564000093680.9093691.2093680.9093689.1093738.900.2193646.8993593.0693589.7993619.12100.0087.6750.4240.2530.177.9822.190.21
1745405700000174540570000093689.1093689.1093689.1093689.1093738.900.0493668.2993603.7693591.5093613.26100.0099.9356.4740.2530.115.9324.180.04
1745405760000174540576000093689.0093689.1093689.0093689.1093738.900.0593680.3093614.4793596.7893607.45100.0099.9377.4140.3028.752.5426.210.05
window_start_msopenhighlowclosetargetvolumesma_7sma_14sma_21sma_60rsi_7rsi_14rsi_21rsi_60macd_7macdsignal_7macdhist_7obv_7
1745410620000174541062000093705.4093716.0093705.4093715.9093695.100.0093745.7393664.8693606.8993601.1558.8070.3675.4950.2541.3419.9521.390.00
1745410680000174541068000093716.0093736.6093715.9093734.4093686.100.5993752.7493679.6893620.8593601.5457.7671.5175.8151.1738.0322.2115.820.59
1745410740000174541074000093734.4093744.2093731.1093731.1093686.100.6193743.3093692.2993634.6593601.8834.0969.2875.3751.0134.3924.3010.100.61
1745410800000174541080000093731.1093731.1093695.1093695.1093713.000.0693722.7393702.5893644.6893601.6114.3264.7068.6649.2526.8327.57-0.750.06
1745410860000174541086000093695.1093695.1093695.0093695.0093773.000.0593711.7993712.8793653.9693600.8821.5064.7067.7747.8421.1630.93-9.780.05
1745410920000174541092000093695.1093695.1093695.1093695.1093749.100.0293710.3093719.2193662.2493600.1642.4060.2066.4847.8516.8333.84-17.010.02
1745410980000174541098000093695.1093695.1093665.7093686.1093731.600.7793707.5393722.5593670.1093599.2837.4755.7065.3747.4312.5036.42-23.930.77
1745411040000174541104000093686.2093695.0093686.1093686.1093743.900.2893703.2793724.5093677.6793598.4027.7653.4964.9847.439.3138.42-29.110.28
1745411100000174541110000093686.2093713.0093686.1093713.0093744.000.4993700.2193726.4893686.5293597.4435.8153.5466.6847.2010.2240.47-30.250.49
1745411160000174541116000093721.5093773.0093721.5093773.0093841.400.0393706.2093724.7593696.9293597.4965.8646.4468.5150.1317.5141.69-24.180.03